Bottlenecks in traditional methods
Marketing teams are usually required:
- Manual visits to competitor websites to replicate data
- Formatting needs to be cleaned up when organizing into Excel
- Regular manual updates. The whole process is time-consuming and critical information can be missed.
Melder Web Crawling Solution
- Dynamic Data Capture
Use of formulas=SCRAPE("https://competitor.com/pricing","div.price-table")Direct access:
- price list
- Product Parameters
- Promotional clauses - Timed refresh mechanism
Right-click on the Grab Results cell to set it:
- Automatic daily updates
- Change Alert
- Version history snapshot - Structured conversion
For the crawled JSON/HTML data, use the=PARSE()Formulas are automatically split into multiple columns to maintain data relationships
typical case
An FMCG brand achieved it with Melder:
1) Capture the prices of nearly 200 SKUs from 7 competitors.
2) Automatic generation of price fluctuation trend charts
3) Trigger email alerts when competitor price adjustments exceed 5%
Increase overall analysis efficiency by 15 times
This answer comes from the articleMelder: Add-in to add AI formula and document processing power to Excel tablesThe
May not be reproduced without permission:AI productivity tools " How to optimize your market competitor's web data collection process?
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